Title: Associate, LCD Data and Analytics Location: Baltimore, Maryland, United States of America Hybrid Full-time Job Description: Company Profile: Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment, and wealth management services. The Firm's employees serve clients worldwide, including corporations, governments, and individuals from more than 1,200 offices in 43 countries. In the Legal & Compliance division, we assist the Firm in achieving its business objectives by facilitating and overseeing the Firm’s management of legal, regulatory and franchise risk. What you’ll do in the role: Morgan Stanley Services Group Inc. is seeking an Associate, LCD Data and Analytics in Baltimore, MD to design and develop business intelligence dashboards and data analytics solutions used to assess operational risk. Assist the control testing services team with building out automated control testing programs and risk-based sampling approaches. Transform existing manual processes using automation and other methods including reporting and analytical solutions to allow for efficiency and repeatability. Translate complex business requirements into creative and impactful designs. Collaborate with business analysts and stakeholders to define business requirements, perform functional specification reviews, creation of test plans, and assist with testing coordination and signoffs. Participate in IT sprint planning sessions and project prioritization sessions when applicable. Ensure key risks and issues are identified, documented, mitigated, and communicated to the appropriate stakeholders or business analyst. Provide pre and post implementation support, including dashboard maintenance and user education. Participate in project working groups, requirement workshops, and meetings. Telecommuting permitted up to 2 days per week. What you’ll bring to the role: -Requires a Master’s degree in Quantitative Management, Information Systems, or a related field of study. -Requires six (6) months of experience in the position offered or six (6) months as an Analyst, or a closely related occupation. -Requires six (6) months years of experience with the following skills: - SQL programming language; - Python and R for modeling, quantitative analysis, and automated scripts; - Relational Database and Database Management principles; - VBA macro automation and Power Query; - Excel including VLOOKUP, Pivot Tables, and Oracle Crystal Ball; - providing business insights and recommendations based on analytical outcomes; - Regression modeling; - Machine Learning including Supervised and Unsupervised learning, training models leveraging historic datasets, and interpreting and evaluating model accuracy and performance; - Creating and maintaining Business Intelligence Applications for Risk Reporting in Tableau, Power BI, and IBM Cognos; - Software Development Lifecycle and Agile Development Principles; - Scrum Framework; - Agile Project Management tools including Jira and Microsoft Project; - Risk Management Framework in Financial Services; - Risk Metrics including Key Risk Indicator (KRI) and Key Performance Indicator (KPI) Reporting; - Risk Control Self Assessment; and - Comprehensive Capital Analysis and Review (CCAR). WHAT YOU CAN EXPECT FROM MORGAN STANLEY: At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser. Salary range for the position: $120,000 - $120,000 /Yr. The successful candidate may be eligible for an annual discretionary incentive compensation award. The successful candidate may be eligible to participate in the relevant business unit’s incentive compensation plan, which also may include a discretionary bonus component. Morgan Stanley offers a full spectrum of benefits, including Medical, Prescription Drug, Dental, Vision, Health Savings Account, Dependent Day Care Savings Account, Life Insurance, Disability and Other Insurance Plans, Paid Time Off (including Sick Leave consistent with state and local law, Parental Leave and 20 Vacation Days annually), 10 Paid Holidays, 401(k), and Short/Long Term Disability, in addition to other special perks reserved for our employees. Please visit mybenefits.morganstanley.com to learn more about our benefit offerings. Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents. Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences. For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

We are looking for a senior, hands-on Data Architect with applied analytics capability to design and operationalize enterprise-grade data and reporting framework supporting Quality Management Systems (QMS) and regulatory compliance within the Animal Welfare and Integrity office. This role serves as the sole data and analytics practitioner for the function, responsible for integrating fragmented quality and compliance data, enabling risk-based decision-making, and automating audit-ready workflows supporting Quality, Compliance, Animal Welfare, Biosecurity, and Genetic Integrity programs. This position operates at the intersection of regulatory compliance, quality & animal welfare assurance, risk governance, and enterprise data strategy. The Location: Remote role The Pay Range: $70,000 - $75,000. Exact compensation may vary based on several factors. These factors include geographic location, experience, training, education, and local market conditions What we offer: - Relocation assistance - Insurance within 30 days or less which includes options for medical, dental, vision, pet insurance and more! - 20 days paid time off plus 6 additional holidays and 1 floating holiday - Annual Bonus Program - Work life balance - 401(k) plan with up to 4% employer match - Tuition reimbursement - Career advancement opportunities - Commitment to training and providing you with the skills you need for success - All employees receive access to 24/7 telemedicine (including mental health), short- and long-term disability and life insurance If you are looking for a rewarding career and the opportunity to grow, apply today! The Role: The Sr Data Analyst - Quality & Compliance will build a centralized, defensible quality data ecosystem that: - Connects siloed QMS and compliance systems - Enables leading and lagging risk indicators - Automates documentation and approval workflows - Supports inspection readiness and regulatory governance Builds stand up dashboards and conversational AI interfaces that enable quality and compliance teams ask questions of their data in plain language, and automate the documentation workflows that keep the company compliant across a complex regulatory landscape Core Responsibilities: Quality & Animal Welfare Data Architecture & Integration - Architect and maintain a centralized data layer integrating: - QMS, CAPA/RCCA, and non-conformance systems - Clinical, genetic, environmental, biosecurity monitoring data - Design validated data schemas and controls to ensure auditability and regulatory defensibility - Build lightweight ETL/ELT pipelines across databases, spreadsheets, and document-based systems without disrupting source platforms Quality & Animal Welfare Risk and Performance Analytics - Develop leading and lagging quality indicators dashboards, including: - Deviation trends, recurrence, and velocity - Change control backlog, aging, and approval cycle times - Training compliance drift - Repeat CAPAs and systemic failure patterns - Construct weighted risk indices to support risk-based prioritization & RCCA escalation - Create a unified data layer or knowledge graph that enables cross-system queries - Deliver executive-ready dashboards for Performance Integrity Review Boards and compliance leadership - Build self-service reporting tools so quality and compliance teams can answer routine questions without submitting data requests (example: “Show me all GLP deviations from Q3” or “What’s the status of our USDA renewal?” - Implement appropriate guardrails for accuracy and data access control Approval, Change Control & Compliance Workflow Automation - Automate regulatory protocol and documentation approvals & submissions, change control, and CAPA workflows: - Template generation and data auto-population - Approval routing and status tracking - Traceability across related quality and regulatory events - Integrate automation into existing QMS platforms rather than replacing them - Reduce manual effort, error rates, and cycle time - Automate the generation, assembly, and routing of regulatory compliance documents across FDA/GLP, USDA/AAALAC, IACUC, and export control workflows - Build templates, auto-population logic, and approval-routing automation to reduce manual effort and error rates Inspection & Regulatory Readiness - - Build dashboards supporting inspection readiness, audit response, & accreditation - Analyze historical findings, deviations, and corrective actions to identify systemic risk - Support defensible, data-backed narratives for regulators and accrediting bodies Independent Technical Leadership - - Own tool selection, architecture decisions, implement within IT & security constraints - Translate complex data and analytics concepts into actionable insights for non-technical leaders and team members - Operate autonomously with minimal dedicated IT support - Other duties as assigned Education and Experience: - Bachelor's degree preferred, relevant experience, or combination of education and experience will be considered in lieu - 5+ years of hands-on experience in data engineering, analytics, or applied data science in regulated environments - Experience with automation pipelines and workflow triggers - Experience integrating data from QMS, compliance or LIMS systems - Proven ability to build dashboards in Power BI, Tableau, Looker, or similar tools - Experience working with siloed, incomplete, inconsistent, and regulated datasets across multiple systems and formats - Experience with compliance KPIs, audit readiness, and operational metrics - Strong proficiency in SQL, and/or Python, ETL, or similar Strongly preferred qualifications, but not required: - Experience in quality, life sciences, biotech, or pharmaceutical environments - Experience with CAPA/RCCA and change control governance - Familiarity with ISO, FDA, GxP, USDA, AAALAC, or IACUC frameworks - Comfort operating as a solo technical practitioner: you scope your own work, choose your own tools, and troubleshoot without a team around you - Strong communication skills — you will be the translator between data/AI capabilities and regulatory compliance needs Physical Requirements & Work Environment: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. - The work is sedentary. Typically, the employee may sit comfortably to do the work, with some walking; standing; bending; carrying items such as papers, books, small parts; driving an automobile; etc. No special physical demands are required to perform the work. Generally, no adverse environmental conditions are present. Allergen Disclosure: Due to the nature of the work performed at Taconic, employees may be exposed to allergens in the workplace, even if their positions do not involve the direct handling of animals or animal bedding. While individuals with preexisting allergies and/or asthma may be particularly sensitive to these exposures, anyone can experience a reaction. About Us: With a history of over 70 years of excellence, Taconic Biosciences is a global team of the best problem solvers in the industry. We partner with our clients to develop winning research strategies that accelerate the discoveries for prevention and treatment of disease. Taconic employees all over the world show up every day to deliver the best solutions for our clients while caring for ourselves, each other, and especially our animals. If you are a respectful, compassionate individual with a can-do attitude and a desire to do the right thing, we want you to join us! Better Together at Taconic Awareness, Action, & Respect. Taconic Biosciences is taking an active and intentional role in fostering a company culture that values and appreciates the uniqueness of all individuals, by promoting fairness and equity. Being you is what allows you to bring your best self to work. We are committed to making Taconic a safe and fair workplace for everyone. We are better together.  Taconic Biosciences is an equal-opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status, and all other categories protected by law.

Ensure accurate implementation of facilities and maintenance programs in SAP, collaborate with multi-disciplinary teams to align operational directives, and recommend optimizations for enhanced efficiency and data accuracy.

• An organized professional with strong analytical and planning skills. • Promote a collaborative, team-oriented environment with continuous feedback practices. • Hands-on role implementing initial agents, integrations, reusable components, and operational mechanisms of the stack.